# Copyright 2020 JD.com, Inc. Galileo Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================

from torch.nn import Embedding as _Embedding
from galileo.platform.export import export


@export('galileo.pytorch')
class Embedding(_Embedding):
    r'''
    wrap Embedding in pytorch

    args:
        embedding_size: size of the dictionary of embeddings
        embedding_dim: the size of each embedding vector
    '''
    def __init__(self, embedding_size, embedding_dim, **kwargs):
        super().__init__(num_embeddings=embedding_size,
                         embedding_dim=embedding_dim)
